Robust Feature Matching for Visual-based Aerial Navigation Using Registered Imagery

Author

• Luis Montenegro

Date of Award

3-2023

Document Type

Thesis

Degree Name

Master of Science

Department

Department of Electrical and Computer Engineering

First Advisor

David A. Woodburn, PhD

Abstract

This work leverages the SIFT detector along with known robust feature matching techniques for vision-aided sUAS navigation solutions. The proposed algorithm focuses on a sufficient number of features extracted, their quality and their distribution.

AFIT Designator

AFIT-ENG-MS-23-M-047

DTIC Accession Number

AD1340942

Comments

An embargo was observer for posting this thesis on AFIT Scholar.

Approved for public release. PA case number 88ABW-2023-0258

Recommended Citation

Montenegro, Luis, "Robust Feature Matching for Visual-based Aerial Navigation Using Registered Imagery" (2023). Theses and Dissertations. 6932.
https://scholar.afit.edu/etd/6932